{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "discover vulnerability", "trigger": true, "arguments": ["vulnerability", "common vulnerabilities and exposures", "vulnerable system version", "capabilities", "vulnerable system", "time", "vulnerable system owner", "supported platform"]}, {"event_type": "phishing", "trigger": true, "arguments": ["place", "purpose", "trusted entity", "damage amount", "time", "tool", "attack pattern", "victim"]}, {"event_type": "ransom", "trigger": true, "arguments": ["damage amount", "victim", "attack pattern", "time", "payment method", "price", "place"]}, {"event_type": "data breach", "trigger": true, "arguments": ["damage amount", "compromised data", "purpose", "tool", "number of data", "number of victim", "attack pattern", "place"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["releaser", "vulnerable system", "vulnerability", "time", "issues addressed", "patch number", "vulnerable system version", "supported platform"]}], "input": "“ Phishing and other scams on the ‘ Dirty Dozen ’ list can trap unsuspecting taxpayers ."}
{"discover vulnerability": [], "phishing": [{"trigger": "trap", "arguments": {"place": "NAN", "purpose": "NAN", "trusted entity": "NAN", "damage amount": "NAN", "time": "NAN", "tool": "NAN", "attack pattern": "NAN", "victim": "taxpayers"}}], "ransom": [], "data breach": [], "patch vulnerability": []}